Dataset Information

A Phase 4 Study of Regorafenib in Metastatic Colorectal Cancer - Does Educating Physicians Change Patient Outcomes?

ABSTRACT: Randomized trial to evaluate impact of healthcare provider( clinician and nursing staff) support and education on treatment discontinuation rates in the absence of progression in patients with metastatic colorectal cancer treated with regorafenib. Intensified education and support will be provided through an application for iPad which has automatic links to grading, dose reduction and side effect management ,as well as, references for additional articles.

DISEASE(S): Physician Education,Colorectal Neoplasms

PROVIDER: 2177983 | ecrin-mdr-crc |

REPOSITORIES: ECRIN MDR

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Project description:Scientific services in the area of OMICS research is becoming increasingly popular. In gen- eral omics research can produce a massive amount of data that can pose a challenge for computing infrastructure. While in the genomics area, many applications can run on Linux nodes the situation in proteomics is different. In proteomics, many applications are optimized to run on Windows computer only. As a sci- entific service provider, a core facility needs reliable, reproducible and easy to use integrated solutions. Liquid chromatography mass spectrometry intensity based label-free quantifica- tion using data-dependent acquisition is a popular approach in proteomics to perform relative quantification of proteins in complex samples. MaxQuant is a widely used software for this type of analysis which has a complex graphical user interface and provides information-rich outputs. We run it in which also includes Scaffold for search result validation and visualization and an R based quality control report generation. Data analysis workflows consists of several components: a workflow engine, compute hosts, and archives. In particular, applications can run on compute hosts, while the data is kept in an archive server. Therefore, the input and output need to be staged to the compute host and the results need to be staged back to the archive. This complexity can be overwhelming for a most common user. These different components have all been integrated into a robust and user-friendly application to process standardized label-free quantification experiments. We integrated MaxQuant as an in-house Software as a Service application so it can be used by any workflow engine in a platform-independent manner. In this manuscript, we provide a technical description of how MaxQuant as software service has been integrated into our heterogeneous compute environment for reproducible and automatic large scale high throughput data processing of label-free quantification experiments. In this Pride dataset we provide four raw files along with the full MaxQuant results, the Scaffold file, the QC-pdf report to have a concrete idea of the potential of our workflow. These data are generated in the FGCZ-course in Nov. 2016 (for further information see: http://www.fgcz.ch/education/genomics-courses01.html).

Project description:Screening for colorectal cancer (CRC) not only detects disease early when treatment is more effective but also prevents cancer by finding and removing precancerous polyps. Because many of our nation’s most disadvantaged and vulnerable individuals obtain health care at federally qualified health centers, these centers play a significant role in increasing CRC screenings among the most vulnerable populations. Furthermore, the full benefits of cancer screenings must include timely and appropriate follow-up of abnormal results. Thus, the purpose of this study is to implement a multilevel intervention to increase rates of CRC screenings, follow-ups, and referrals-to-care in federally qualified health centers (FQHCs). Also, we will examine the implementation strategies used to support the implementation process and their contribution to the adoption, implementation, and sustainment of the multilevel intervention. The multilevel intervention will target three different levels of influences: organization, provider, and individual. It will have multiple components, including provider and staff education, provider reminder, provider assessment and feedback, patient reminder, and patient navigation. This study is a multilevel, three-phase, stepped wedge cluster randomized trial with four clusters of clinics from four different FQHCs. Our FQHC partners together have 40 primary care clinics and 130 primary care providers. During Phase 1, there will be a 3-month waiting period during which no intervention components will be implemented. After the 3-month waiting period, we will randomize two clusters of clinics to cross from the control to the intervention and the remaining two clusters to follow three months later. All clusters of clinics will stay at the same phase for nine months, followed by a 3-month transition period, and then cross over to the next phase. In Phase 1, we will implement provider and staff education sessions. In Phase 2, we will add provider reminders, patient reminders, and provider assessment and feedback. We will add patient navigation during the last phase. Single level interventions are often insufficient at leading to sustainable changes. Multilevel interventions are needed to address multilevel contextual influences simultaneously. How to take advantage of multilevel interventions and how to implement such interventions and evaluate their effectiveness are the ultimate goals of this study.

Dataset Information

A Phase 4 Study of Regorafenib in Metastatic Colorectal Cancer - Does Educating Physicians Change Patient Outcomes?

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